Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description must disclose behavioral details on its own. It only says 'across various timeframes', which hints at output variety but does not explain the response structure, whether it returns a single summary or multiple entries, or any specifics like data freshness, sorting, or error handling. This leaves a significant transparency gap for an API tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is only two sentences, which is concise overall. However, the first sentence ('Gain insights into analysts' expectations for stock prices') is generic marketing language that adds little value beyond the second sentence. It could be condensed to one informative sentence without losing meaning, so it earns a middle score.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, the description should explain what the caller will receive, but it does not. It fails to mention that the response likely contains fields like average price target, high/low estimates, or the timeframes included. It also does not differentiate this summary tool from consensus or bulk variants. For a simple one-parameter tool, this is incomplete but not catastrophic.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 100% description coverage for the single parameter ('symbol': 'Stock symbol'), so the schema already documents the parameter clearly. The description itself does not mention the parameter, but since the schema fully covers it, the baseline score of 3 is appropriate. It adds no extra semantic meaning, but none is needed.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the tool as providing access to average price targets from analysts, which matches the tool name 'getPriceTargetSummary'. It names a specific resource (FMP Price Target Summary API) and what information it delivers (average price targets). However, it does not distinguish this from sibling tools like getPriceTargetConsensus or getPriceTargetSummariesBulk, so it is not fully differentiated.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It only states a general use case ('helping investors assess future stock performance'), which is too broad and does not mention any exclusions or competing tools. There is no mention of when to choose this over getPriceTargetConsensus or other price-target-related tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.